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Udemy - Complete Python and Machine Learning in Financial Analysis (3.2025)

  • 10 - Deep Learning in Finance/3 -Multilayer perceptrons for time series forecasting.mp4 284.7 MB
  • 9 - Advanced Machine Learning Models in Finance/7 -Bayesian hyperparameter optimization.mp4 276.5 MB
  • 10 - Deep Learning in Finance/4 -Convolutional neural networks for time series forecasting.mp4 259.7 MB
  • 9 - Advanced Machine Learning Models in Finance/3 -Theres more about use advanced classifiers to achieve better results.mp4 236.4 MB
  • 9 - Advanced Machine Learning Models in Finance/5 -Investigating the feature importance.mp4 207.0 MB
  • 6 - Monte Carlo Simulations in Finance/2 -Simulating stock price dynamics using Geometric Brownian Motion.mp4 206.7 MB
  • 10 - Deep Learning in Finance/5 -Recurrent neural networks for time series forecasting.mp4 200.2 MB
  • 3 - Time Series Modeling/6 -Modeling time series with ARIMA class models.mp4 182.7 MB
  • 10 - Deep Learning in Finance/2 -Deep learning for tabular data.mp4 173.3 MB
  • 2 - Technical Analysis in Python/3 -Backtesting a strategy based on simple moving average.mp4 171.5 MB
  • 8 - Identifying Credit Default with Machine Learning/3 -Exploratory data analysis.mp4 169.4 MB
  • 1 - Financial Data and Preprocessing/10 -Investigating stylized facts of asset returns.mp4 165.6 MB
  • 2 - Technical Analysis in Python/4 -Calculating Bollinger Bands and testing a buysell strategy.mp4 161.2 MB
  • 2 - Technical Analysis in Python/6 -Building an interactive dashboard for TA.mp4 158.8 MB
  • 8 - Identifying Credit Default with Machine Learning/9 -Tuning hyperparameters using grid search and cross-validation.mp4 127.4 MB
  • 9 - Advanced Machine Learning Models in Finance/2 -Investigating advanced classifiers.mp4 122.6 MB
  • 8 - Identifying Credit Default with Machine Learning/7 -Fitting a decision tree classifier.mp4 115.8 MB
  • 8 - Identifying Credit Default with Machine Learning/5 -Dealing with missing values.mp4 115.0 MB
  • 3 - Time Series Modeling/5 -Modeling time series with exponential smoothing methods.mp4 112.6 MB
  • 4 - Multi-Factor Models/5 -Implementing the four- and five-factor models in Python.mp4 111.8 MB
[磁力链接] 添加时间:2025-08-09 大小:6.4 GB 最近下载:2025-10-25 热度:236

[FreeAllCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2021-03-21 大小:6.4 GB 最近下载:2025-10-22 热度:1174

[GigaCourse.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/14. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2021-03-29 大小:6.4 GB 最近下载:2025-09-24 热度:769

[ FreeCourseWeb.com ] Packt - Mastering Python Networking [E-Learning]

  • ~Get Your Course Here !/1 - Review of TCP_IP Protocol Suite and Python/Python Language Overview.mp4 540.9 MB
  • ~Get Your Course Here !/1 - Review of TCP_IP Protocol Suite and Python/Network Protocol Suites.mp4 363.9 MB
  • ~Get Your Course Here !/1 - Review of TCP_IP Protocol Suite and Python/An Overview of the Internet.mp4 363.9 MB
  • ~Get Your Course Here !/8 - Network Monitoring with Python – Part 2/Elasticsearch (ELK stack).mp4 298.2 MB
  • ~Get Your Course Here !/2 - Low-Level Network Device Interactions/The Python Paramiko Library.mp4 290.8 MB
  • ~Get Your Course Here !/8 - Network Monitoring with Python – Part 2/Flow-Based Monitoring.mp4 274.3 MB
  • ~Get Your Course Here !/2 - Low-Level Network Device Interactions/Python Pexpect Library.mp4 261.7 MB
  • ~Get Your Course Here !/6 - Network Security with Python/Python Scapy.mp4 254.8 MB
  • ~Get Your Course Here !/8 - Network Monitoring with Python – Part 2/Graphviz.mp4 206.3 MB
  • ~Get Your Course Here !/4 - The Python Automation Framework – Ansible Basics/A More Declarative Framework.mp4 203.3 MB
  • ~Get Your Course Here !/2 - Low-Level Network Device Interactions/Constructing a Virtual Lab.mp4 201.4 MB
  • ~Get Your Course Here !/3 - APIs and Intent-Driven Networking/The Python API for Juniper Networks.mp4 200.6 MB
  • ~Get Your Course Here !/7 - Network Monitoring with Python – Part 1/SNMP.mp4 184.0 MB
  • ~Get Your Course Here !/3 - APIs and Intent-Driven Networking/The Cisco API and ACI.mp4 182.2 MB
  • ~Get Your Course Here !/7 - Network Monitoring with Python – Part 1/Python for Data Visualization.mp4 167.4 MB
  • ~Get Your Course Here !/3 - APIs and Intent-Driven Networking/The Arista Python API.mp4 154.9 MB
  • ~Get Your Course Here !/7 - Network Monitoring with Python – Part 1/Python for Cacti.mp4 148.0 MB
  • ~Get Your Course Here !/4 - The Python Automation Framework – Ansible Basics/Ansible Networking Modules.mp4 139.2 MB
  • ~Get Your Course Here !/4 - The Python Automation Framework – Ansible Basics/The Ansible Architecture.mp4 129.9 MB
  • ~Get Your Course Here !/3 - APIs and Intent-Driven Networking/Infrastructure as Code.mp4 121.9 MB
[磁力链接] 添加时间:2021-05-21 大小:6.4 GB 最近下载:2025-10-23 热度:1155

PYTHON PARA DATA SCIENCE E MACHINE LEARNING

  • 14. Introdução ao Machine Learning/2. Link para o ISLR.html 553 Bytes
  • 14. Introdução ao Machine Learning/2. Link para o ISLR.html.part 553 Bytes
  • 25. Big Data e Spark com Python/4. Configurando um ambiente Spark Local.html 1.8 kB
  • 25. Big Data e Spark com Python/4. Configurando um ambiente Spark Local.html.part 1.8 kB
  • 12. Python para visualização de dados - Plots geográficos/1. Introdução aos Plots geográficos.mp4 2.1 MB
  • 5. Python para Análise de dados - Numpy/1. Bem vindo à seção de Numpy.mp4 2.1 MB
  • 25. Big Data e Spark com Python/1. Bem vindo à seção de Big Data e Spark com Python.mp4 3.1 MB
  • 8. Python para Visualização de dados - Matplotlib/1. Bem vindo à seção de visualização de dados.mp4 3.2 MB
  • 14. Introdução ao Machine Learning/4. Notebooks de Machine Learning.mp4 3.4 MB
  • 4. Curso relâmpago de Python/2. Introdução ao curso relâmpago de Python.mp4 3.5 MB
  • 13. Projetos de análise de dados/1. Bem vindo à seção de projetos de dados.mp4 3.7 MB
  • 6. Python para análise de dados - Pandas/2. Introdução ao Pandas.mp4 5.2 MB
  • 5. Python para Análise de dados - Numpy/2. Introdução ao Numpy.mp4 5.3 MB
  • 10. Python para visualização de dados - Visualização de dados Pandas/2. Exercícios.mp4 5.8 MB
  • 6. Python para análise de dados - Pandas/1. Bem vindo à seção Pandas.mp4 5.9 MB
  • 18. K Nearest Neighbors (KNNs)/3. KNN - Projeto.mp4 5.9 MB
  • 17. Regressão Logística/5. Regressão logística com Python - Projeto.mp4 6.1 MB
  • 12. Python para visualização de dados - Plots geográficos/4. Mapas Choropleth - Exercícios.mp4 6.4 MB
  • 21. K Means Clustering/3. K Means - Projeto.mp4 6.5 MB
  • 8. Python para Visualização de dados - Matplotlib/6. Exercícios Matplotlib.mp4 7.0 MB
[磁力链接] 添加时间:2018-10-05 大小:6.3 GB 最近下载:2025-10-24 热度:350

Udemy - Machine Learning and Deep Learning Bootcamp in Python (1.2025)

  • 37. Q Learning Implementation (Tic Tac Toe)/6. Tic tac toe with Q learning implementation VI.mp4 116.2 MB
  • 05. Linear Regression/4. Linear regression implementation I.mp4 97.0 MB
  • 32. ### NUMERICAL OPTIMIZATION (OPTIMIZERS) ###/6. Stochastic gradient descent implementation I.mp4 85.0 MB
  • 09. Naive Bayes Classifier/6. Naive Bayes example - clustering news.mp4 83.6 MB
  • 39. Deep Q Learning Implementation (Tic Tac Toe)/3. Tic Tac Toe with deep Q learning implementation III.mp4 76.5 MB
  • 06. Logistic Regression/4. Logistic regression example II- credit scoring.mp4 75.5 MB
  • 06. Logistic Regression/3. Logistic regression example I - sigmoid function.mp4 69.1 MB
  • 32. ### NUMERICAL OPTIMIZATION (OPTIMIZERS) ###/9. ADAGrad implementation.mp4 62.6 MB
  • 25. Convolutional Neural Networks (CNNs) Implementation/2. Handwritten digit classification II.mp4 60.9 MB
  • 08. K-Nearest Neighbor Classifier/6. K-nearest neighbor implementation II.mp4 59.2 MB
  • 09. Naive Bayes Classifier/1. What is the naive Bayes classifier.mp4 57.7 MB
  • 15. Clustering/3. K-means clustering - text clustering.mp4 57.5 MB
  • 25. Convolutional Neural Networks (CNNs) Implementation/1. Handwritten digit classification I.mp4 57.0 MB
  • 16. Machine Learning Project I - Face Recognition/4. Understanding eigenfaces.mp4 56.2 MB
  • 35. Exploration vs. Exploitation Problem/3. N-armed bandit problem implementation.mp4 55.9 MB
  • 28. Recurrent Neural Networks (RNNs) Implementation/3. Time series analysis example III.mp4 55.2 MB
  • 26. Machine Learning Project III - Identifying Objects with CNNs/5. Tuning the parameters - regularization.mp4 54.5 MB
  • 34. Markov Decision Process (MDP) Theory/3. Markov decision processes - equations.mp4 52.1 MB
  • 37. Q Learning Implementation (Tic Tac Toe)/8. Tic tac toe with Q learning implementation VIII.mp4 51.0 MB
  • 06. Logistic Regression/1. What is logistic regression.mp4 50.7 MB
[磁力链接] 添加时间:2025-09-19 大小:6.3 GB 最近下载:2025-10-26 热度:143

Python Beyond Basics for Machine Learning, Data Science, AI

  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/12. Case Study with Scikit Learn Library.mp4 431.8 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/10. Plotly Library/1. Plotly Library Tutorial.mp4 334.3 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/13. Case Study with Scikit Learn Library.mp4 291.5 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/4. Python Crash Course/1. Python Crash Course.mp4 266.8 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/1. Numpy Library Tutorial 1.mp4 228.6 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/8. Matplotlib Library/1. Matplotlib Library Tutorial 1.mp4 214.2 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/13. Artificial Intelligence/3. UGV Flow Chart.mp4 125.1 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/9. Seaborn Library/2. Seaborn Library Tutorial 2.mp4 119.4 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/3. Numpy Library Tutorial 3.mp4 114.2 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/3. Python Advance Concept/1. Collection Module.mp4 96.1 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/1. Introduction of Course/5. Data Science Introduction.mp4 93.9 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/6. Case Study with Logistic Regression.mp4 92.5 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/10. Case Study with KNN Algorithm.mp4 91.2 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/2. Case Study of Suicides in India 2001-2012.mp4 91.1 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/9. Seaborn Library/1. Seaborn Library Tutorial 1.mp4 86.1 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/2. Numpy Library Tutorial 2.mp4 82.9 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/4. Case Study of Titanic Dataset.mp4 78.9 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/4. Numpy Library Tutorial 4.mp4 75.8 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/7. Case Study with Support Vector Machines (SVM).mp4 74.8 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/8. Matplotlib Library/4. Matplotlib Library Tutorial 4.mp4 73.1 MB
[磁力链接] 添加时间:2021-03-18 大小:6.2 GB 最近下载:2025-10-25 热度:9649

[DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.srt 150.6 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.8 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
  • 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
[磁力链接] 添加时间:2022-03-02 大小:6.2 GB 最近下载:2025-09-28 热度:841

Machine Learning A-Z - Hands-On Python and R In Data Science

  • 31 Artificial Neural Networks.rar 530.5 MB
  • 29 -------------------- Part 7 Natural Language Processing --------------------.rar 469.8 MB
  • 05 Multiple Linear Regression.rar 384.0 MB
  • 32 Convolutional Neural Networks.rar 370.7 MB
  • 06 Polynomial Regression.rar 332.6 MB
  • 27 Upper Confidence Bound (UCB).rar 314.9 MB
  • 12 Logistic Regression.rar 284.8 MB
  • 24 Apriori.rar 279.3 MB
  • 02 -------------------- Part 1 Data Preprocessing --------------------.rar 247.8 MB
  • 04 Simple Linear Regression.rar 210.7 MB
  • 34 Principal Component Analysis (PCA).rar 204.1 MB
  • 16 Naive Bayes.rar 185.4 MB
  • 22 Hierarchical Clustering.rar 178.2 MB
  • 15 Kernel SVM.rar 177.7 MB
  • 38 Model Selection.rar 175.6 MB
  • 28 Thompson Sampling.rar 171.2 MB
  • 18 Random Forest Classification.rar 152.0 MB
  • 21 K-Means Clustering.rar 148.2 MB
  • 17 Decision Tree Classification.rar 130.6 MB
  • 08 Decision Tree Regression.rar 126.0 MB
[磁力链接] 添加时间:2021-04-25 大小:6.2 GB 最近下载:2025-10-24 热度:2914

Deep Learning with Python, Second Edition, Video Edition

  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/03-Chapter 1 Understanding how deep learning works, in three figures.mp4 107.9 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/49-Chapter 9 Advanced deep learning for computer vision.mp4 104.6 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/33-Chapter 6 Collect a dataset.mp4 89.2 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/96-Chapter 14 Lifelong learning and modular subroutine reuse.mp4 88.2 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/02-Chapter 1 Learning rules and representations from data.mp4 87.4 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/04-Chapter 1 Before deep learning - A brief history of machine learning.mp4 86.7 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/74-Chapter 12 How do you generate sequence data.mp4 85.9 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/86-Chapter 14 Conclusions.mp4 85.1 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/77-Chapter 12 Neural style transfer.mp4 84.9 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/73-Chapter 12 Generative deep learning.mp4 84.5 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/27-Chapter 5 The nature of generalization in deep learning.mp4 84.4 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/66-Chapter 11 Two approaches for representing groups of words - Sets and sequences.mp4 83.7 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/71-Chapter 11 Beyond text classification - Sequence-to-sequence learning.mp4 83.5 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/36-Chapter 6 Deploy the model.mp4 82.0 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/05-Chapter 1 Back to neural networks.mp4 81.7 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/01-Chapter 1 What is deep learning.mp4 80.5 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/79-Chapter 12 Implementing a VAE with Keras.mp4 79.6 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/82-Chapter 13 Hyperparameter optimization.mp4 78.7 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/44-Chapter 8 The convolution operation.mp4 78.0 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/55-Chapter 9 Visualizing heatmaps of class activation.mp4 77.9 MB
[磁力链接] 添加时间:2022-03-20 大小:6.2 GB 最近下载:2025-10-26 热度:4002

[FreeCourseLab.com] Udemy - Python for Computer Vision with OpenCV and Deep Learning

  • 1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip 321.0 MB
  • 4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
  • 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
  • 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
  • 4. Image Processing/5. Image Thresholding.mp4 145.0 MB
  • 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
  • 3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
  • 6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
  • 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
  • 4. Image Processing/9. Gradients.mp4 118.9 MB
  • 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
  • 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
  • 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
  • 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
  • 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
  • 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.8 MB
  • 8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
  • 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
  • 4. Image Processing/8. Morphological Operators.mp4 101.5 MB
  • 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB
[磁力链接] 添加时间:2021-03-23 大小:6.2 GB 最近下载:2025-10-25 热度:1819

[GigaCourse.Com] Udemy - Machine Learning Classification Bootcamp in Python

  • 4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
  • 7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
  • 5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
  • 2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
  • 8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
  • 1. Introduction/2.1 ML Classification Package.zip 138.2 MB
  • 8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
  • 5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
  • 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
  • 6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
  • 5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
  • 8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
  • 7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
  • 8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
  • 7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
  • 6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
  • 4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
  • 2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
  • 1. Introduction/5. Course Overview.mp4 99.5 MB
  • 5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB
[磁力链接] 添加时间:2024-05-14 大小:6.1 GB 最近下载:2025-01-19 热度:222

[FreeCourseSite.com] Udemy - Machine Learning Classification Bootcamp in Python

  • 4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
  • 7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
  • 5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
  • 2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
  • 8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
  • 1. Introduction/2.1 ML Classification Package.zip 138.2 MB
  • 8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
  • 5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
  • 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
  • 6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
  • 5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
  • 8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
  • 7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
  • 8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
  • 7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
  • 6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
  • 4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
  • 2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
  • 1. Introduction/5. Course Overview.mp4 99.5 MB
  • 5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB
[磁力链接] 添加时间:2021-03-11 大小:6.1 GB 最近下载:2025-10-23 热度:1307

[FreeCourseSite.com] Udemy - Machine Learning Classification Bootcamp in Python

  • 4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
  • 7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
  • 5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
  • 2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
  • 8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
  • 1. Introduction/2.1 ML Classification Package.zip 138.2 MB
  • 8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
  • 5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
  • 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
  • 6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
  • 5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
  • 8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
  • 7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
  • 8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
  • 7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
  • 6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
  • 4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
  • 2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
  • 1. Introduction/5. Course Overview.mp4 99.5 MB
  • 5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB
[磁力链接] 添加时间:2021-05-06 大小:6.1 GB 最近下载:2025-10-16 热度:672

[FreeCourseSite.com] Udemy - Machine Learning Classification Bootcamp in Python

  • 4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
  • 7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
  • 5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
  • 2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
  • 8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
  • 1. Introduction/2.1 ML Classification Package.zip 138.2 MB
  • 8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
  • 5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
  • 3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
  • 6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
  • 5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
  • 8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
  • 7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
  • 8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
  • 7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
  • 6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
  • 4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
  • 2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
  • 1. Introduction/5. Course Overview.mp4 99.5 MB
  • 5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB
[磁力链接] 添加时间:2024-10-07 大小:6.1 GB 最近下载:2025-10-22 热度:130

[GigaCourse.com] Udemy - Python for Computer Vision with OpenCV and Deep Learning

  • 1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip 321.0 MB
  • 4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
  • 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
  • 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
  • 4. Image Processing/5. Image Thresholding.mp4 145.0 MB
  • 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
  • 3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
  • 6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
  • 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
  • 4. Image Processing/9. Gradients.mp4 118.9 MB
  • 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
  • 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
  • 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
  • 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
  • 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
  • 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.8 MB
  • 8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
  • 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
  • 4. Image Processing/8. Morphological Operators.mp4 101.5 MB
  • 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB
[磁力链接] 添加时间:2021-05-03 大小:6.1 GB 最近下载:2025-10-19 热度:265

[DesireCourse.Net] Udemy - Python for Computer Vision with OpenCV and Deep Learning

  • 1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip 321.0 MB
  • 4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
  • 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
  • 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
  • 4. Image Processing/5. Image Thresholding.mp4 145.0 MB
  • 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
  • 3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
  • 6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
  • 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
  • 4. Image Processing/9. Gradients.mp4 118.9 MB
  • 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
  • 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
  • 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
  • 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
  • 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
  • 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.8 MB
  • 8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
  • 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
  • 4. Image Processing/8. Morphological Operators.mp4 101.5 MB
  • 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB
[磁力链接] 添加时间:2021-03-10 大小:6.1 GB 最近下载:2025-10-22 热度:2122

[FreeTutorials.Eu] Udemy - Python for Computer Vision with OpenCV and Deep Learning

  • 1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip 321.0 MB
  • 4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
  • 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
  • 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
  • 4. Image Processing/5. Image Thresholding.mp4 145.0 MB
  • 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
  • 3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
  • 6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
  • 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
  • 4. Image Processing/9. Gradients.mp4 118.9 MB
  • 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
  • 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
  • 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
  • 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
  • 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
  • 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.7 MB
  • 8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
  • 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
  • 4. Image Processing/8. Morphological Operators.mp4 101.5 MB
  • 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB
[磁力链接] 添加时间:2021-03-07 大小:6.1 GB 最近下载:2025-10-25 热度:1767

[FreeCourseSite.com] Udemy - Python for Computer Vision with OpenCV and Deep Learning

  • 1. Course Overview and Introduction/3.1 Computer-Vision-with-Python.zip.zip 321.0 MB
  • 4. Image Processing/7. Blurring and Smoothing - Part Two.mp4 247.3 MB
  • 6. Object Detection with OpenCV and Python/9. Feature Matching - Part Two.mp4 186.0 MB
  • 8. Deep Learning for Computer Vision/22. YOLO v3 with Python.mp4 175.0 MB
  • 4. Image Processing/5. Image Thresholding.mp4 145.0 MB
  • 8. Deep Learning for Computer Vision/17. Deep Learning on Custom Images - Part Two.mp4 144.4 MB
  • 3. Image Basics with OpenCV/2. Opening Image files in a notebook.mp4 133.1 MB
  • 6. Object Detection with OpenCV and Python/2. Template Matching.mp4 122.3 MB
  • 6. Object Detection with OpenCV and Python/14. Face Detection with OpenCV.mp4 122.3 MB
  • 4. Image Processing/9. Gradients.mp4 118.9 MB
  • 8. Deep Learning for Computer Vision/11. Convolutional Neural Networks Overview - Part One.mp4 118.8 MB
  • 7. Object Tracking/3. Optical Flow Coding with OpenCV - Part One.mp4 116.8 MB
  • 6. Object Detection with OpenCV and Python/11. Watershed Algorithm - Part Two.mp4 114.5 MB
  • 6. Object Detection with OpenCV and Python/12. Custom Seeds with Watershed Algorithm.mp4 109.4 MB
  • 6. Object Detection with OpenCV and Python/8. Feature Matching - Part One.mp4 104.8 MB
  • 5. Video Basics with Python and OpenCV/4. Drawing on Live Camera.mp4 102.7 MB
  • 8. Deep Learning for Computer Vision/9. Keras Basics.mp4 102.5 MB
  • 3. Image Basics with OpenCV/10. Image Basics Assessment Solutions.mp4 102.0 MB
  • 4. Image Processing/8. Morphological Operators.mp4 101.5 MB
  • 7. Object Tracking/6. MeanShift and CamShift Tracking with OpenCV.mp4 100.9 MB
[磁力链接] 添加时间:2021-03-11 大小:6.1 GB 最近下载:2025-10-26 热度:5146

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/5. Updates on Udemy Reviews.mp4 55.5 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
  • 6. Polynomial Regression/10. Polynomial Regression in R - Step 3.mp4 45.4 MB
  • 28. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4 45.2 MB
[磁力链接] 添加时间:2021-03-11 大小:6.1 GB 最近下载:2025-07-03 热度:596


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